46 citations · 102 across the 9 of their papers we have counts for
11 papers
Communication between Frozen Large Language Models via Prompt Optimization in a Referential Game
Vivek Anand, Muthu Chandrasekaran, Shiva Chaitanya
We study communication between two frozen large language models from different providers, with different tokenizers, accessed through their API endpoints. The two play a referentia…
Read Top News First: A Document Reordering Approach for Multi-Document News Summarization
Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury +3
A common method for extractive multi-document news summarization is to re-formulate it as a single-document summarization problem by concatenating all documents as a single meta-do…
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings
Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran +1
We propose a method for online news stream clustering that is a variant of the non-parametric streaming K-means algorithm. Our model uses a combination of sparse and dense document…
The CL-SciSumm Shared Task 2018: Results and Key Insights
Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran +2
This overview describes the official results of the CL-SciSumm Shared Task 2018 -- the first medium-scale shared task on scientific document summarization in the computational ling…
Overview and Results: CL-SciSumm Shared Task 2019
Muthu Kumar Chandrasekaran, Michihiro Yasunaga, Dragomir Radev +2
The CL-SciSumm Shared Task is the first medium-scale shared task on scientific document summarization in the computational linguistics~(CL) domain. In 2019, it comprised three task…
When to reply? Context Sensitive Models to Predict Instructor Interventions in MOOC Forums
Muthu Kumar Chandrasekaran, Min-Yen Kan
Due to time constraints, course instructors often need to selectively participate in student discussion threads, due to their limited bandwidth and lopsided student--instructor rat…